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Gear maker Osvald Jensen knew it needed to speed up work and improve its performance and productivity by shaving seconds off its run time while ensuring round-the-clock up-time on its machinery.

There is an ever-increasing demand for the individualization of products from today’s consumer. When consumers are able to get exactly what they want (shape, size, color) they are more satisfied and more likely to do repeat business. But how do you scale custom part production?

The Pittsburgh region is a hotbed of activity in robotics and AI. This activity includes research and technology companies that commercialize academic research and solve real world problems.

If you’re feeling a bit overwhelmed by the prospect of Industry 4.0, and perhaps a bit sheepish about your lack of progress, you’ve got good company.

Put the paper and pencil away. Hybrid data management and analysis systems-where users combine paper tracking with computer processing-are no longer meeting the needs of manufacturers for speed, accuracy, traceability and compliance with regulations.

Industrial robots are becoming easier to program, more versatile, more cost-effective, more accurate and more mobile. These changes are lowering barriers to entry, shortening return on investment and making robots a more practical investment.

Cloud technology presents manufacturers with opportunities to improve the flexibility, scalability and efficiency of their operations. Realizing these benefits will require more than simply doing a one-to-one transfer of current technology to cloud-based servers.

What do you think of when you hear the word factory? Probably some huge space, with machines humming and personnel walking around with notepads in their hands.

Wyoming Completion had a shock when it began machining parts in an automated machining cell. It was a good shock: While the company hoped for a 25-35% boost in production, it experienced 400% improvement.

The term generative design has been popping up in the manufacturing world of late. Its promise is to create many design permutations to let engineers choose an optimum one that meets sometimes conflicting requirements.